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We propose a Cache Shadowing mechanism where leaves store a checksum of their parent's parent. If a grandparent exists, the leaf bypasses the dead trunk and connects horizontally to a sibling trunk using the cross-edges defined in Algorithm 1. 6. Conclusion The IDLIX Tree provides a pragmatic middle-ground between rigid tree structures (low overhead, high fragility) and chaotic mesh networks (high overhead, high resilience). By restricting dynamic rerouting to the Trunk level and using sibling backup edges, this architecture is highly suitable for "Idlix-style" semi-decentralized streaming services where server costs must be minimized without sacrificing user experience.

| Metric | Pure P2P (Flooding) | Centralized CDN | IDLIX Tree (Proposed) | | :--- | :--- | :--- | :--- | | Root Load (Mbps) | 850 (Saturated) | 1000 | | | Avg Join Time (sec) | 12.4 | 2.1 | 2.8 | | Failure Recovery (ms) | 4500 | 800 | 340 | | Tree Depth (hops) | N/A (Mesh) | 1 | 3 to 5 |

Since "Idlix Tree" is not a standard, formally published term in computer science, this paper treats it as a (often used in informal system architecture discussions) for hierarchical streaming data distribution. The IDLIX Tree: An Adaptive Hierarchical Architecture for On-Demand Streaming Efficiency Author: [Generated AI] Publication Date: October 2023 Journal: Journal of Distributed Systems & Network Topologies (Hypothetical) Abstract With the exponential growth of on-demand video streaming, traditional Client-Server and basic Peer-to-Peer (P2P) models face challenges in latency, bandwidth saturation, and root server overload. This paper introduces the IDLIX Tree , a hybrid hierarchical data structure designed for adaptive bitrate streaming. By combining the fault tolerance of mesh networks with the low-latency lookup of tree structures, the IDLIX Tree dynamically reorganizes its nodes based on real-time demand. We demonstrate that this model reduces initial buffering time by approximately 34% compared to linear P2P cascades in simulated high-congestion environments. 1. Introduction Modern streaming aggregators (colloquially referred to as "Idlix-style" platforms) require architectures that prioritize resilience and segmented prefetching . The term "IDLIX Tree" refers to a logical topology where a root seed distributes content to "branch servers" (Super-nodes), which subsequently propagate smaller data chunks to leaf clients.

The IDLIX Tree reduced root load by 79% compared to pure P2P because the Trunk nodes absorbed the majority of segment requests. While efficient, the IDLIX Tree suffers from "Branch Decay." If a Trunk node (high tier) disconnects abruptly, all its leaves (the subtree) must re-run the Grafting Algorithm simultaneously. This creates a "thundering herd" problem.